Triple
T4943277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charon |
E110986
|
entity |
| Predicate | relativeSizeToPluto |
P60181
|
FINISHED |
| Object | about half Pluto’s diameter |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: about half Pluto’s diameter | Statement: [Charon, relativeSizeToPluto, about half Pluto’s diameter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeSizeToPluto Context triple: [Charon, relativeSizeToPluto, about half Pluto’s diameter]
-
A.
relativeSizeToEarth
Indicates the comparative size of an entity when measured relative to the size of Earth.
-
B.
radiusRelativeToJupiter
Indicates that the radius of one object is expressed as a value relative to the radius of Jupiter.
-
C.
brightnessComparedToJupiter
Indicates how the brightness of one object compares to that of Jupiter.
-
D.
meanDiameter_km
Indicates the average diameter of an object or region measured in kilometers.
-
E.
hasPolarDiameter_km
Indicates the length of an object's diameter measured from pole to pole, expressed in kilometers.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70a7650c8190b046b65072fd8eae |
completed | March 20, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6ff85b50819081d78087caa6b473 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:31 p.m.